Identifying influential nodes has been one of the most intensive studies among network analysis, and it is essential to control social networks. However, most of the existing methods are based on local features and lack the modeling of the overall network structure. In order to solve the key player problem positive (KPP-POS) problem effectively, we propose a 0-1 integer linear programming model (IP-KPP-POS) based on the detection standard DR of KPP-POS. Then, we design a local search heuristic algorithm that significantly reduces the computational complexity and simultaneously achieves high accuracy. Finally, the effectiveness of our methods are validated by experiments with various synthetic networks and real-world networks.
WANG Xindong
,
YU Hua
,
JIANG Cheng
. Positive effect of key player detection in social networks[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(3)
: 425
-432
.
DOI: 10.7523/j.issn.2095-6134.2019.03.017
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